1 
    KMeansExample kmE = new KMeansExample();
    ArrayList<Integer> data = kmE.readData("c2010.csv"); // List of number


    int k = 3;
    List<Vector> dividedData = divideData(data, k); //divides data into list of k vectors

    List<Cluster> clusters = new ArrayList<>();


    /*   initial cluatersusing mahout */
    int clusterId = 0;
    for (Vector v : dividedData) {
        clusters.add(new Cluster(v, clusterId++, new EuclideanDistanceMeasure()));
    }


    /* final cluster using mahout KMeansClusterer */
    List<List<Cluster>> finalClusters = KMeansClusterer.clusterPoints(
            dividedData, clusters, new EuclideanDistanceMeasure(), 3, 50);
    kmE.printFinalClusters(finalClusters);


    where 

    private void printFinalClusters(List<List<Cluster>> fc) {
    for (List<Cluster> l : fc) {
        for (Cluster c : l) {
            System.out.println(c.asFormatString());
        }
    }
}

結果は次のとおりです:-

CL-0: {67:247.0,66:193.0,65:271.0,64:171.0,63:158.0,62:396.0,61:407.0,60:432.0,59:200.0,58:791.0,57:406.0,56 :205.0,55:55.0,54:394.0,53:230.0,52:38.0,51:508.0,50:414.0,49:52.0,48:572.0,47:121.0,46:724.0,45:1421.0,44:706.0 ,43:603.0,42:525.0,41:181.0,40:476.0,39:642.0,38:761.0,37:340.0,36:1273.0,35:1692.0,34:687.0,33:497.0,32:91.0,31 :309.0,30:1534.0,29:299.0,28:961.0,27:656.0,26:310.0,25:483.0,24:796.0,23:247.0,22:682.0,21:1348.0,20:1394.0,19:368.0 ,18:491.0,17:263.0,16:1117.0,15:1792.0,14:398.0,13:185.0,12:457.0,11:505.0,10:297.0,9:919.0,8:723.0,7:203.0,6 :2566.0,5:450.0,4:404.0,3:459.0,2:254.0,1:177.0,0:269.0} CL-1: {67:193.0,66:271.0,65:171.0,64:158.0,63: 396.0,62:407.0,61:432.0,60:200.0,59:791.0,58:406.0,57:205.0,56:55.0,55:394.0,54:230.0,53:38.0,52:508.0,51:414.0, 50:52.0,49:572.0,48:121.0,47:724.0,46:1421.0,45:706.0,44:603.0,43:525.0,42:181.0,41:476.0,40:642.0,39:761.0,38:340.0,37:1273.0,36:1692.0,35:687.0,34:497.0,33:91.0,32:309.0,31:1534.0,30:299.0,29: 961.0,28:656.0,27:310.0,26:483.0,25:796.0,24:247.0,23:682.0,22:1348.0,21:1394.0,20:368.0,19:491.0,18:263.0,17:1117.0, 16:1792.0,15:398.0,14:185.0,13:457.0,12:505.0,11:297.0,10:919.0,9:723.0,8:203.0,7:2566.0,6:450.0,5:404.0,4: 459.0,3:254.0,2:177.0,1:269.0,0:247.0} CL-2: {67:271.0,66:171.0,65:158.0,64:396.0,63:407.0,62:432.0,61:200.0 ,60:791.0,59:406.0,58:205.0,57:55.0,56:394.0,55:230.0,54:38.0,53:508.0,52:414.0,51:52.0,50:572.0,49:121.0,48 :724.0,47:1421.0,46:706.0,45:603.0,44:525.0,43:181.0,42:476.0,41:642.0,40:761.0,39:340.0,38:1273.0,37:1692.0,36:687.0 ,35:497.0,34:91.0,33:309.0,32:1534.0,31:299.0,30:961.0,29:656.0,28:310.0,27:483.0,26:796.0,25:247.0,24:682.0,23 :1348.0,22:1394.0,21:368.0,20:491.0,19:263.0,18:1117.0,17:1792.0,16:398.0,15:185.0,14:457.0,13:505.0,12:297.0,11:919.0,10:723.0,9:203.0,8:2566.0,7:450.0,6:404.0,5:459.0,4:254.0,3:177.0, 2:269.0,1:247.0,0:193.0} VL-0: {67:247.0,66:193.0,65:271.0,64:171.0,63:158.0,62:396.0,61:407.0,60:432.0,59 :200.0,58:791.0,57:406.0,56:205.0,55:55.0,54:394.0,53:230.0,52:38.0,51:508.0,50:414.0,49:52.0,48:572.0,47:121.0 ,46:724.0,45:1421.0,44:706.0,43:603.0,42:525.0,41:181.0,40:476.0,39:642.0,38:761.0,37:340.0,36:1273.0,35:1692.0,34 :687.0,33:497.0,32:91.0,31:309.0,30:1534.0,29:299.0,28:961.0,27:656.0,26:310.0,25:483.0,24:796.0,23:247.0,22:682.0 ,21:1348.0,20:1394.0,19:368.0,18:491.0,17:263.0,16:1117.0,15:1792.0,14:398.0,13:185.0,12:457.0,11:505.0,10:297.0,9 :919.0,8:723.0,7:203.0,6:2566.0,5:450.0,4:404.0,3:459.0,2:254.0,1:177.0,0:269.0} VL-1: {67:193.0,66: 271.0,65:171.0,64:158.0,63:396.0,62:407.0,61:432.0,60:200.0,59:791.0,58:406.0,57:205.0,56:55.0,55:394.0,54:230.0,53:38.0,52:508.0,51:414.0,50:52.0,49:572.0,48:121.0,47:724.0,46:1421.0,45:706.0,44: 603.0,43:525.0,42:181.0,41:476.0,40:642.0,39:761.0,38:340.0,37:1273.0,36:1692.0,35:687.0,34:497.0,33:91.0,32:309.0, 31:1534.0,30:299.0,29:961.0,28:656.0,27:310.0,26:483.0,25:796.0,24:247.0,23:682.0,22:1348.0,21:1394.0,20:368.0,19: 491.0,18:263.0,17:1117.0,16:1792.0,15:398.0,14:185.0,13:457.0,12:505.0,11:297.0,10:919.0,9:723.0,8:203.0,7:2566.0, 6:450.0,5:404.0,4:459.0,3:254.0,2:177.0,1:269.0,0:247.0} VL-2: {67:271.0,66:171.0,65:158.0,64:396.0,63 :407.0,62:432.0,61:200.0,60:791.0,59:406.0,58:205.0,57:55.0,56:394.0,55:230.0,54:38.0,53:508.0,52:414.0,51:52.0 ,50:572.0,49:121.0,48:724.0,47:1421.0,46:706.0,45:603.0,44:525.0,43:181.0,42:476.0,41:642.0,40:761.0,39:340.0,38 :1273.0,37:1692.0,36:687.0,35:497.0,34:91.0,33:309.0,32:1534.0,31:299.0,30:961.0,29:656.0,28:310.0,27:483.0,26:796.0,25:247.0,24:682.0,23:1348.0,22:1394.0,21:368.0,20:491.0,19:263.0,18:1117.0,17: 1792.0,16:398.0,15:185.0,14:457.0,13:505.0,12:297.0,11:919.0,10:723.0,9:203.0,8:2566.0,7:450.0,6:404.0,5:459.0, 4:254.0,3:177.0,2:269.0,1:247.0,0:193.0}

しかし、各クラスターのメンバーを取得するにはどうすればよいですか?

4

1 に答える 1

0

上記の方法はクラスターの重心を見つけることができますが、各ベクトルにクラスターの重心を割り当てる最後のステップを実行する必要があります。

次のステップとして、各ベクトルを 1 つずつ取得し、それに最も近い重心を割り当てることができます。

于 2013-07-27T04:05:20.527 に答える